151. Solar module emulator based on a low-cost microcontroller
- Author
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Mohamed Bourahla, Fatima Tahri, A. Tahri, Santiago Silvestre, Abdelkadir Boucharef, Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, and Universitat Politècnica de Catalunya. MNT - Grup de Recerca en Micro i Nanotecnologies
- Subjects
Computer science ,Photovoltaic power generation ,Fuzzy logic control ,Fuzzy logic controller ,Software ,Solar module ,Arduino ,Díodes ,Single-diode model ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,Emulation ,Electrical and Electronic Engineering ,Instrumentation ,Simulation ,Energia solar fotovoltaica ,business.industry ,Applied Mathematics ,Photovoltaic system ,Condensed Matter Physics ,Diodes ,Microcontroller ,Energies::Energia solar fotovoltaica::Captadors solars [Àrees temàtiques de la UPC] ,Enginyeria electrònica::Components electrònics::Díodes [Àrees temàtiques de la UPC] ,business ,Photovoltaic - Abstract
© 2022 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ The aim of this paper is to present an experimental analysis of a solar module emulator based on a low-cost microcontroller. An Arduino low-cost microcontroller is used to mimic several solar module technologies with high accuracy. The estimation and extraction of the single- diode photovoltaic model parameters is performed by a developed software. Two control strategies are applied to the photovoltaic emulation, one based on the digital proportional integral controller and the second one based on fuzzy logic controller. The emulator is able to follow the module I-V curves for fast and simultaneous real-time change of solar radiation, cell temperature and load, based on an online resolution of the single-diode mathematical model of the photovoltaic module. Finally, the experimental and modeled I-V curves of four different photovoltaic module technologies are compared and assessed the efficiency of the proposed fuzzy logic control strategy compared to the proportional integral control strategy.
- Published
- 2022
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